Agentiq’s athlete-selection and valuation team includes former MLB front-office executives and data scientists. The team combines professional sports judgment with a proprietary AI/ML model that evaluates more than 100 quantitative and qualitative variables to estimate a range of potential player-success, career, performance, and earnings outcomes.
Representative factors may include age, position, recent and historical performance, advanced statistics, playing time, role, opportunity, availability, durability, injuries, development trajectory, modeled upside and downside ranges, contract status, compensation, comparable players, team context, league conditions, market factors, and other sport-specific information.
Former MLB front-office experience informs data selection, player comparisons, development assumptions, advanced-stat interpretation, and professional review of model outputs. The model is one input—not a guarantee or mechanical decision rule.
Agentiq may also evaluate business, legal, financial, operational, reputational, contractual, and risk considerations, including the proposed Series structure and Brand Advisory Agreement. Selection for diligence or filing is not an endorsement, investment recommendation, guarantee of qualification, or assurance of player success or future results.
A potential offering cannot be sold merely because diligence is complete or a filing is made. Sales may begin only after applicable legal requirements are satisfied, including SEC qualification where required. Qualification is not SEC approval, recommendation, endorsement, verification of a projection or valuation, or a suitability determination.
Investors should rely on the final Offering Circular—not selection criteria, platform descriptions, projections, or marketing summaries—for the complete terms, pricing basis, assumptions, conflicts, and risks.